Copeland at Chillventa 2026
13 - 15 October 2026 at Nuremberg Exhibition Center, Germany
Copeland at Chillventa 2026
Experience Copeland’s future-proof solutions at the 2026 edition of the Chillventa international exhibition to discover our best-in-class technologies for refrigeration, air conditioning and heat pumps.
Visit us in hall 5 booth 132 to get in touch with our industry experts, to learn how you can optimize your system’s efficiency and achieve the best business performance.
Date: 13 - 15 October 2026
Location: Nürnberg Messe, Nuremberg, Germany
Copeland presentations at Chillventa
- OCTOBER 13, 2026
- OCTOBER 14, 2026
- OCTOBER 15, 2026
Loading Add To Calendar...Refrigeration drives efficiency, compliance risk and total cost in food retail. See how CO₂ scroll condensing units support decentralized store architectures, 10 to 15 percent lower capital costs, reliable operation, low sound options and lower lifecycle cost.
Loading Add To Calendar...Experience how advanced analytics and AI help grocery teams detect refrigerant leaks earlier, prioritize maintenance, support compliance and reduce operational pressure across large portfolios, including Copeland Connect+ integration.
Loading Add To Calendar...Defrost is one of the most energy-intensive supermarket processes. Learn how real-time ice detection replaces inefficient timer-based or temperature-based methods, reducing energy use, protecting product shelf life and lowering carbon impact with scalable software.
Loading Add To Calendar...See how completed high-temperature heat pump projects deliver process heat from 100 °C to 180 °C. Real industrial examples using low-GWP and natural refrigerants demonstrate the potential of modern heat pump systems to reduce CO₂ emissions, improve efficiency and integrate electrified heat.
Loading Add To Calendar...Discover how modular VQ industrial heat pumps can decarbonize district heating above 100 °C. A representative case study shows nearly 10 MW of efficient, grid-responsive heat from a 40 °C source, with strong part-load performance for real network demands.
